Search Results - Che, Weixian

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  1. 1
    Selection of 110 kV Prefabricated Steel Substations Considering Seismic Vulnerability in China

    Selection of 110 kV Prefabricated Steel Substations Considering Seismic Vulnerability in China by Che, Weixian, Liang, Junbo, Deng, Jun, Yi, Jiang

    Published in Buildings (Basel)
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  2. 2
    Impact Resistance of Rubberized Alkali-Activated Concrete Incorporating Recycled Aggregate and Recycled Steel Fiber

    Impact Resistance of Rubberized Alkali-Activated Concrete Incorporating Recycled Aggregate and Recycled Steel Fiber by Che, Weixian, Li, Lei, Chen, Zhongmin, Liang, Donghua, Guo, Yongchang

    Published in Buildings (Basel)
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  3. 3
    Ultra-High-Performance Alkali-Activated Concrete: Effect of Waste Crumb Rubber Aggregate Proportions on Tensile and Flexural Properties

    Ultra-High-Performance Alkali-Activated Concrete: Effect of Waste Crumb Rubber Aggregate Proportions on Tensile and Flexural Properties by Li, Lei, Chen, Zhongmin, Che, Weixian, Cheng, Cheng, Chen, Yiwu, Li, Dehui, Liu, Lianghua, Guo, Yongchang

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  4. 4
    A Review of Carbon Emission Reduction During the Operation Stage of Substations

    A Review of Carbon Emission Reduction During the Operation Stage of Substations by Che, Weixian, Wang, Yanfeng, Zhu, Wenwei, Hong, Lexin, Fang, Can, Wu, Huijun, Liu, Jia

    Published in Sustainability
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  5. 5
    Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning

    Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning by Wang, Xingrui, Che, Qinglin, Ji, Xiaoxiao, Meng, Xinyi, Zhang, Lang, Jia, Rongrong, Lyu, Hairong, Bai, Weixian, Tan, Lingjie, Gao, Yanjun

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  6. 6
    Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: A cross-sectional study based on machine learning

    Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: A cross-sectional study based on machine learning by Wang, Xingrui, Che, Qinglin, Ji, Xiaoxiao, Meng, Xinyi, Lang, Zhang, Jia, Rongrong, Lyu, Hairong, Bai, Weixian, Tan, Lingjie, Gao, Yanjun

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